This paper is devoted to the existence and globally exponential stability of almost periodic solution for a class of Cohen-Grossberg neural networks with variable coefficients. By using Banach fixed point theorem and applying inequality technique, we give some sufficient conditions ensuring the exis
Existence and Attractivity of Almost Periodic Solution for Recurrent Neural Networks with Unbounded Delays and Variable Coefficients
β Scribed by Xia Huang; Jinde Cao; Daniel W. C. Ho
- Publisher
- Springer Netherlands
- Year
- 2006
- Tongue
- English
- Weight
- 235 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0924-090X
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By using exponential dichotomy, the Banach fixed point theory and some inequality analysis technology, some sufficient conditions are derived ensuring existence, uniqueness and global attractivity of almost periodic solution of delayed cellular neural networks (DCNNs) with time-varying coefficients.
## Abstract This paper proposes a class of more general model of recurrent neural networks with __functional__ delay, which has been found more suitable to apply directly. Simple and easily checkable conditions of existence, uniqueness, and global exponential stability of periodic solution for the